Quality inspection is inevitable in the steel industry so there are already benchmark datasets
for the visual inspection of steel surface defects. In our work, we show, contrary to previous …

Surface defect is a serious problem in real-world manufacturing system and it is important to
use vision-based recognition to ensure the surface quality of products. Currently, due to the …

Due to the manufacturing process and environmental effects steel surfaces can have a
variety of defects. The nonuniform surface brightness and the variety of shapes of defects …

Mammogram image analysis has benefited from advancements in artificial intelligence (AI),
particularly through the use of Siamese networks, which, similar to radiologists, compare …

The paper deals with analysis of recognition of surface quality with reflective structures.
Such surfaces are common in metallic materials cut using a saw or polished. There are no …

Ensembles of convolutional neural networks have shown remarkable results in learning
discriminative semantic features for image classification tasks. However, the models in the …

Аннотация Введение. Представлен алгоритм решения задачи обнаружения дефектов
твердых поверхностей при обучении на нулевом или малом числе примеров, который …

This study presents an algorithm for the problem of detecting defects on hard surfaces when
trained with zero or a small number of examples, addressing the challenge of limited data …

For the realization of autonomous production machines, it is necessary to enable them to
independently assess the condition of their components and, in a medium-term step, inform …

A method of identifying and retrieving component digital images for component fault analysis
includes generating a known-fault database of digital images of known faults of a previously …